Tolling infrastructure is undergoing a fundamental shift as operators move beyond expensive single-camera hardware toward intelligence-driven data fusion systems to meet traditional tolling and emerging road user charging needs.
Instead of pursuing the "perfect image" through costly gantry-mounted equipment, organisations are leveraging existing ITS camera networks with sophisticated algorithms that combine evidence from multiple imperfect sources. This shift introduces major changes to how toll roads manage revenue assurance, operational efficiency, and capital investment, while requiring new capabilities in probabilistic modelling, adaptive machine learning, and real-time system integration.
This white paper explores how the IRIS (Integrated Recognition and Identification System) transforms tolling accuracy from 95-97% to over 99.8%, the commercial and technical frameworks required to implement multi-camera fusion, and the operational implications for exception processing and revenue recovery. It also outlines how CBS Group applies systems engineering, Technical Assurance, and data science methodologies to help clients unlock hidden value from existing infrastructure assets. Download the full white paper for a deep dive into intelligence-driven tolling and its impact on infrastructure profitability.
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